Exploring rates and timing of new agricultural practices with the ADOPT tool

This dataset contains data from 22 peer reviewed studies and white papers
(117 observations), representing 43 countries, that used the Adoption
Diffusion Outcome Prediction Tool (ADOPT) to predict the adoption and
diffusion of agricultural innovations between 2014 and 2022. The dataset
reports predicted peak adoption rate (PPAR (%)) and predicted time to peak
adoption (PTTP (years)) of various agricultural innovations/practices. The
agricultural practices from each paper are categorized under 6 broad
types: technological, new cropping system, new crop/variety, management
inputs, improved livestock genetics, conservation. Motivation for practice
adoption is also recorded in the dataset. Motivation for adoption
was typically explicitly reported in the papers; however, if it was not,
two members of the research team independently classified the practice
into one (or more) of the three motivation categories (motivation was
inferred for four of the 22 studies) and then discussed and reconciled the
small number of differences. Motivation was categorized as
"Public" (e.g., environmental motivations referring to
restoration, climate mitigation goals and/or risk mitigation),
"Private" (e.g., financial motivations related to yield
improvements and/or cost savings), or "Public and Private"
(inclusion of both motivations).  This dataset can be used to
explore patterns in adoption of various agricultural practices.